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This project aims to provide guidance for designing landscapes that sustain and promote biodiversity. Relevant themes include habitat fragmentation, connectivity, and heterogeneity, and how these factors influence optimal area-based conservation strategies for protecting species and ecosystems. The project may leverage datasets compiled at local, provincial (Ontario), continental, or global scales, depending on the student’s interests and the specific research questions developed, and builds on a long tradition of related work conducted at GLEL. Supervision: Dr. Federico Riva, in collaboration with Drs. Lenore Fahrig and Amanda Martin.

Research (75%), Teaching (25%).

Essential Skills and Qualifications MSc degree in ecology, conservation science, data science, geography, applied statistics, mathematics, or a related field Strong research, leadership, and communication skills Canadian citizenship (current funding is sufficient only for domestic students) We might consider applicants for an MSc position, instead of two PhD positions. Note that a fast-track option from BSc to PhD is possible, but requires careful planning and a transition from MSc to PhD during the first year. Desirable Skills Statistical modelling Familiarity with GIS tools and spatial analyses Familiarity with software R and R Studio

The position is a full time (40-h/week) position and comes with teaching assistantship. Salary is guaranteed for 4 years.